Top-k and Skyline for Cloud Services Research and Selection System
Abdellah Idrissi, Kaoutar El Handri, Hajar Rehioui, Manar Abourezq · 2016
Cloud Services remain one of the largest segments in the world because it has experienced very rapid growth published, which makes the service selection and recommendation a difficult task for users and service providers, evenly they are a big growth opportunity for companies. For this reason, how to select the best and optimal services will be a great challenge. In this paper we present a new approach for Cloud service selection. We use a top K query, which returns k services that dominate the largest number of services returned by the Skyline query. This request is based on a method that is among the most important and commonly used to compute scoring functions: The weighted sum method, also called linear. Our application is an important decision support tool, because it provides an efficient decision making tool to help decision makers to meet the most suitable services to their preferences. In addition, it combines the advantages of Top-k and Skyline queries without sharing their disadvantages. On the other hand, our results on real data show the relevance of this designed specific algorithm and fully exploit the characteristics of the problem.